KAFKA-5456; Ensure producer handles old format large compressed messages

More specifically, fix the case where a compressed V0 or V1 message is
larger than the producer batch size.

Author: Jason Gustafson <jason@confluent.io>

Reviewers: Apurva Mehta <apurva@confluent.io>, Ismael Juma <ismael@juma.me.uk>

Closes #3356 from hachikuji/KAFKA-5456

clients/src/main/java/org/apache/kafka/clients/producer/KafkaProducer.java

@@ -636,8 +636,8 @@ public class KafkaProducer<K, V> implements Producer<K, V> {
             setReadOnly(record.headers());
             Header[] headers = record.headers().toArray();
 
-            int serializedSize = AbstractRecords.sizeInBytesUpperBound(apiVersions.maxUsableProduceMagic(),
-                    serializedKey, serializedValue, headers);
+            int serializedSize = AbstractRecords.estimateSizeInBytesUpperBound(apiVersions.maxUsableProduceMagic(),
+                    compressionType, serializedKey, serializedValue, headers);
             ensureValidRecordSize(serializedSize);
             long timestamp = record.timestamp() == null ? time.milliseconds() : record.timestamp();
             log.trace("Sending record {} with callback {} to topic {} partition {}", record, callback, record.topic(), partition);

clients/src/main/java/org/apache/kafka/clients/producer/internals/ProducerBatch.java

@@ -104,7 +104,8 @@ public final class ProducerBatch {
             return null;
         } else {
             Long checksum = this.recordsBuilder.append(timestamp, key, value, headers);
-            this.maxRecordSize = Math.max(this.maxRecordSize, AbstractRecords.sizeInBytesUpperBound(magic(), key, value, headers));
+            this.maxRecordSize = Math.max(this.maxRecordSize, AbstractRecords.estimateSizeInBytesUpperBound(magic(),
+                    recordsBuilder.compressionType(), key, value, headers));
             this.lastAppendTime = now;
             FutureRecordMetadata future = new FutureRecordMetadata(this.produceFuture, this.recordCount,
                                                                    timestamp, checksum,
@@ -128,8 +129,8 @@ public final class ProducerBatch {
         } else {
             // No need to get the CRC.
             this.recordsBuilder.append(timestamp, key, value);
-            this.maxRecordSize = Math.max(this.maxRecordSize,
-                                          AbstractRecords.sizeInBytesUpperBound(magic(), key, value, headers));
+            this.maxRecordSize = Math.max(this.maxRecordSize, AbstractRecords.estimateSizeInBytesUpperBound(magic(),
+                    recordsBuilder.compressionType(), key, value, headers));
             FutureRecordMetadata future = new FutureRecordMetadata(this.produceFuture, this.recordCount,
                                                                    timestamp, thunk.future.checksumOrNull(),
                                                                    key == null ? -1 : key.remaining(),
@@ -252,8 +253,8 @@ public final class ProducerBatch {
     }
 
     private ProducerBatch createBatchOffAccumulatorForRecord(Record record, int batchSize) {
-        int initialSize = Math.max(AbstractRecords.sizeInBytesUpperBound(magic(),
-                record.key(), record.value(), record.headers()), batchSize);
+        int initialSize = Math.max(AbstractRecords.estimateSizeInBytesUpperBound(magic(),
+                recordsBuilder.compressionType(), record.key(), record.value(), record.headers()), batchSize);
         ByteBuffer buffer = ByteBuffer.allocate(initialSize);
 
         // Note that we intentionally do not set producer state (producerId, epoch, sequence, and isTransactional)

clients/src/main/java/org/apache/kafka/clients/producer/internals/RecordAccumulator.java

@@ -200,7 +200,7 @@ public final class RecordAccumulator {
 
             // we don't have an in-progress record batch try to allocate a new batch
             byte maxUsableMagic = apiVersions.maxUsableProduceMagic();
-            int size = Math.max(this.batchSize, AbstractRecords.sizeInBytesUpperBound(maxUsableMagic, key, value, headers));
+            int size = Math.max(this.batchSize, AbstractRecords.estimateSizeInBytesUpperBound(maxUsableMagic, compression, key, value, headers));
             log.trace("Allocating a new {} byte message buffer for topic {} partition {}", size, tp.topic(), tp.partition());
             buffer = free.allocate(size, maxTimeToBlock);
             synchronized (dq) {

clients/src/main/java/org/apache/kafka/common/record/AbstractRecords.java

@@ -180,13 +180,23 @@ public abstract class AbstractRecords implements Records {
         return compressionType == CompressionType.NONE ? size : Math.min(Math.max(size / 2, 1024), 1 << 16);
     }
 
-    public static int sizeInBytesUpperBound(byte magic, byte[] key, byte[] value, Header[] headers) {
-        return sizeInBytesUpperBound(magic, Utils.wrapNullable(key), Utils.wrapNullable(value), headers);
+    /**
+     * Get an upper bound estimate on the batch size needed to hold a record with the given fields. This is only
+     * an estimate because it does not take into account overhead from the compression algorithm.
+     */
+    public static int estimateSizeInBytesUpperBound(byte magic, CompressionType compressionType, byte[] key, byte[] value, Header[] headers) {
+        return estimateSizeInBytesUpperBound(magic, compressionType, Utils.wrapNullable(key), Utils.wrapNullable(value), headers);
     }
 
-    public static int sizeInBytesUpperBound(byte magic, ByteBuffer key, ByteBuffer value, Header[] headers) {
+    /**
+     * Get an upper bound estimate on the batch size needed to hold a record with the given fields. This is only
+     * an estimate because it does not take into account overhead from the compression algorithm.
+     */
+    public static int estimateSizeInBytesUpperBound(byte magic, CompressionType compressionType, ByteBuffer key, ByteBuffer value, Header[] headers) {
         if (magic >= RecordBatch.MAGIC_VALUE_V2)
-            return DefaultRecordBatch.batchSizeUpperBound(key, value, headers);
+            return DefaultRecordBatch.estimateBatchSizeUpperBound(key, value, headers);
+        else if (compressionType != CompressionType.NONE)
+            return Records.LOG_OVERHEAD + LegacyRecord.recordOverhead(magic) + LegacyRecord.recordSize(magic, key, value);
         else
             return Records.LOG_OVERHEAD + LegacyRecord.recordSize(magic, key, value);
     }

clients/src/main/java/org/apache/kafka/common/record/DefaultRecordBatch.java

@@ -457,9 +457,11 @@ public class DefaultRecordBatch extends AbstractRecordBatch implements MutableRe
     }
 
     /**
-     * Get an upper bound on the size of a batch with only a single record using a given key and value.
+     * Get an upper bound on the size of a batch with only a single record using a given key and value. This
+     * is only an estimate because it does not take into account additional overhead from the compression
+     * algorithm used.
      */
-    static int batchSizeUpperBound(ByteBuffer key, ByteBuffer value, Header[] headers) {
+    static int estimateBatchSizeUpperBound(ByteBuffer key, ByteBuffer value, Header[] headers) {
         return RECORD_BATCH_OVERHEAD + DefaultRecord.recordSizeUpperBound(key, value, headers);
     }
 

clients/src/main/java/org/apache/kafka/common/record/MemoryRecordsBuilder.java

@@ -677,28 +677,29 @@ public class MemoryRecordsBuilder {
     }
 
     /**
-     * Check if we have room for a new record containing the given key/value pair
+     * Check if we have room for a new record containing the given key/value pair. If no records have been
+     * appended, then this returns true.
      */
     public boolean hasRoomFor(long timestamp, byte[] key, byte[] value, Header[] headers) {
         return hasRoomFor(timestamp, wrapNullable(key), wrapNullable(value), headers);
     }
 
     /**
-     * Check if we have room for a new record containing the given key/value pair
+     * Check if we have room for a new record containing the given key/value pair. If no records have been
+     * appended, then this returns true.
      *
      * Note that the return value is based on the estimate of the bytes written to the compressor, which may not be
-     * accurate if compression is really used. When this happens, the following append may cause dynamic buffer
+     * accurate if compression is used. When this happens, the following append may cause dynamic buffer
      * re-allocation in the underlying byte buffer stream.
-     *
-     * There is an exceptional case when appending a single message whose size is larger than the batch size, the
-     * capacity will be the message size which is larger than the write limit, i.e. the batch size. In this case
-     * the checking should be based on the capacity of the initialized buffer rather than the write limit in order
-     * to accept this single record.
      */
     public boolean hasRoomFor(long timestamp, ByteBuffer key, ByteBuffer value, Header[] headers) {
         if (isFull())
             return false;
 
+        // We always allow at least one record to be appended (the ByteBufferOutputStream will grow as needed)
+        if (numRecords == 0)
+            return true;
+
         final int recordSize;
         if (magic < RecordBatch.MAGIC_VALUE_V2) {
             recordSize = Records.LOG_OVERHEAD + LegacyRecord.recordSize(magic, key, value);
@@ -709,9 +710,7 @@ public class MemoryRecordsBuilder {
         }
 
         // Be conservative and not take compression of the new record into consideration.
-        return numRecords == 0 ?
-                bufferStream.remaining() >= recordSize :
-                this.writeLimit >= estimatedBytesWritten() + recordSize;
+        return this.writeLimit >= estimatedBytesWritten() + recordSize;
     }
 
     public boolean isClosed() {

clients/src/test/java/org/apache/kafka/clients/producer/internals/RecordAccumulatorTest.java

@@ -138,11 +138,59 @@ public class RecordAccumulatorTest {
     }
 
     @Test
-    public void testAppendLarge() throws Exception {
+    public void testAppendLargeCompressed() throws Exception {
+        testAppendLarge(CompressionType.GZIP);
+    }
+
+    @Test
+    public void testAppendLargeNonCompressed() throws Exception {
+        testAppendLarge(CompressionType.NONE);
+    }
+
+    private void testAppendLarge(CompressionType compressionType) throws Exception {
         int batchSize = 512;
         byte[] value = new byte[2 * batchSize];
         RecordAccumulator accum = new RecordAccumulator(batchSize + DefaultRecordBatch.RECORD_BATCH_OVERHEAD, 10 * 1024,
-                CompressionType.NONE, 0L, 100L, metrics, time, new ApiVersions(), null);
+                compressionType, 0L, 100L, metrics, time, new ApiVersions(), null);
+        accum.append(tp1, 0L, key, value, Record.EMPTY_HEADERS, null, maxBlockTimeMs);
+        assertEquals("Our partition's leader should be ready", Collections.singleton(node1), accum.ready(cluster, time.milliseconds()).readyNodes);
+
+        Deque<ProducerBatch> batches = accum.batches().get(tp1);
+        assertEquals(1, batches.size());
+        ProducerBatch producerBatch = batches.peek();
+        List<MutableRecordBatch> recordBatches = TestUtils.toList(producerBatch.records().batches());
+        assertEquals(1, recordBatches.size());
+        MutableRecordBatch recordBatch = recordBatches.get(0);
+        assertEquals(0L, recordBatch.baseOffset());
+        List<Record> records = TestUtils.toList(recordBatch);
+        assertEquals(1, records.size());
+        Record record = records.get(0);
+        assertEquals(0L, record.offset());
+        assertEquals(ByteBuffer.wrap(key), record.key());
+        assertEquals(ByteBuffer.wrap(value), record.value());
+        assertEquals(0L, record.timestamp());
+    }
+
+    @Test
+    public void testAppendLargeOldMessageFormatCompressed() throws Exception {
+        testAppendLargeOldMessageFormat(CompressionType.GZIP);
+    }
+
+    @Test
+    public void testAppendLargeOldMessageFormatNonCompressed() throws Exception {
+        testAppendLargeOldMessageFormat(CompressionType.NONE);
+    }
+
+    private void testAppendLargeOldMessageFormat(CompressionType compressionType) throws Exception {
+        int batchSize = 512;
+        byte[] value = new byte[2 * batchSize];
+
+        ApiVersions apiVersions = new ApiVersions();
+        apiVersions.update(node1.idString(), NodeApiVersions.create(Collections.singleton(
+                new ApiVersionsResponse.ApiVersion(ApiKeys.PRODUCE.id, (short) 0, (short) 2))));
+
+        RecordAccumulator accum = new RecordAccumulator(batchSize + DefaultRecordBatch.RECORD_BATCH_OVERHEAD, 10 * 1024,
+                compressionType, 0L, 100L, metrics, time, apiVersions, null);
         accum.append(tp1, 0L, key, value, Record.EMPTY_HEADERS, null, maxBlockTimeMs);
         assertEquals("Our partition's leader should be ready", Collections.singleton(node1), accum.ready(cluster, time.milliseconds()).readyNodes);
 

jmh-benchmarks/src/main/java/org/apache/kafka/jmh/record/RecordBatchIterationBenchmark.java

@@ -16,7 +16,6 @@
  */
 package org.apache.kafka.jmh.record;
 
-import org.apache.kafka.common.header.Header;
 import org.apache.kafka.common.record.AbstractRecords;
 import org.apache.kafka.common.record.BufferSupplier;
 import org.apache.kafka.common.record.CompressionType;
@@ -59,7 +58,7 @@ public class RecordBatchIterationBenchmark {
     }
 
     @Param(value = {"LZ4", "SNAPPY", "NONE"})
-    private CompressionType type = CompressionType.NONE;
+    private CompressionType compressionType = CompressionType.NONE;
 
     @Param(value = {"1", "2"})
     private byte messageVersion = CURRENT_MAGIC_VALUE;
@@ -98,11 +97,12 @@ public class RecordBatchIterationBenchmark {
     private ByteBuffer createBatch(int batchSize) {
         byte[] value = new byte[messageSize];
         final ByteBuffer buf = ByteBuffer.allocate(
-            AbstractRecords.sizeInBytesUpperBound(messageVersion, new byte[0], value, new Header[0]) * batchSize
+            AbstractRecords.estimateSizeInBytesUpperBound(messageVersion, compressionType, new byte[0], value,
+                    Record.EMPTY_HEADERS) * batchSize
         );
 
         final MemoryRecordsBuilder builder =
-            MemoryRecords.builder(buf, messageVersion, type, TimestampType.CREATE_TIME, startingOffset);
+            MemoryRecords.builder(buf, messageVersion, compressionType, TimestampType.CREATE_TIME, startingOffset);
 
         for (int i = 0; i < batchSize; ++i) {
             switch (bytes) {